In-Depth Understanding of Dissertation Methodology + Example

Working on a dissertation but not aware of the different types of methodology. Writing a dissertation is a hard, and it makes it even more difficult when you are must write and conduct a methodology. So in the coming section of this article, we crafted the perfect information for you to learn about dissertation methodology.

If you are also facing the similar issue to write an effective dissertation methodology, read this article. Even though, there are several platforms to help you write it well, you must understand the basic of this process yourself.

So, before you dive deep into the ocean of research and finding, let's understand why dissertation methodology is critical in PHD studies.

What Is the Importance of Dissertation Methodology?

Dissertation methodology is a system that discusses the outcome and focuses on the process. When a student is framing an academic paper, it involves two types of issues. These issues are comparison and distinct research processes. Students should answer all the necessary questions including all the Why, What, and Where about the research and result. 

If you wish your research methodology to be impressive the same way you wish, then you should follow a set process. It is a critical process that all the PhD or Masters students should follow. This process makes it possible for the result to be precise and the information to be accurate. That is why dissertation methodology is an essential factor that gives more power to any new finding. 

However, there are more then 10 types of dissertation methodologies, here you will learn about the difference between the two most important ones. There is a vast difference between different types of research methodology. You will now understand the reason why quantitative and qualitative research are different from one another.

What Is the Difference Between Qualitative and Quantitative Methodology?

Both quantitative and qualitative research work differently. They perform the varied function for a researcher while collecting data. If you need help sinking into this information, you can also look for dissertation methodology examples for more help. Let's understate a brief account of the aspects that keep both of them apart.

• Qualitative research is an investigation that advances knowledge in the humanities and social sciences by determining how people feel and think. Quantitative research is a scientific and empirical research method that uses mathematical, logical, and statistical methods to produce numerical data.
• While quantitative research is particularistic, qualitative research is holistic.
• The quantitative research approach is objective since the researcher is disinterested and makes accurate observations and analyses to address the question. Still, the qualitative research approach is subjective because the researcher is personally part of it.
• Exploratory research is qualitative research, as opposed to conclusive quantitative research.
• Inductive reasoning synthesises data in qualitative research, whereas deductive reasoning is for quantitative research.
• It is how both types of effective dissertation research methods differ. However, it is rightly said that one can only get to know the similarities and differences by a practical approach to following either quantitative or qualitative research.

As you must have understood in the above section about the importance of two primary research systems used in the dissertation. It would have explained to you about different factors in which they work together or apart. Experts also recommend looking up dissertation methodology examples before understanding the process better.

Hence it is also vital to learn about the importance of other dissertation methods used. Let's try and understand it with the help of the analysis method.

How to Analyse Data in Your Dissertation Methodology?

Data analysis is looking over information directly or indirectly to analyse it and extract relevant and valuable information from the raw data. Datalidation, editing, coding, and data analysis methods are the steps before data analysis.

Data analysis is done immediately following data collection and suitable sorting. Depending on the type of outcomes you want, this could be done in any manner you choose. Any flow could serve as an example for data analysis, for instance:

• Describing what transpired
• Investigating data correlations using exploratory analysis
• Doing a diagnostic analysis to determine the cause of an event
• Using predictive analysis, one can predict future events.
• Data analysis method that makes recommendations on how something should occur

Many dissertation methodology are used to answer the question of how data analysis is done.

The analysis method is beneficial for understanding the core of the dissertation methodology used in the process. Sometimes it can also give a good idea about the study's start and end. Dissertation methodology helps determine endless factors that can either give or take from a research study.